@inproceedings{38d58d4c081646d9b9d8da3e61dd4d8f,
title = "ADAPTIVE SKIN SEGMENTATION IN COLOR IMAGES",
abstract = "A new skin segmentation technique for color images is proposed. The proposed technique uses a human skin color model that is based on the Bayesian decision theory and developed using a large training set of skin colors and nonskin colors. The proposed technique is novel and unique in that texture characteristics of the human skin are used to select appropriate skin color thresholds for skin segmentation. Two homogeneity measures for skin regions that take into account both global and local image features are also proposed. Experimental results showed that:the proposed technique can achieve good skin segmentation performance (false detection rate of 4.5\% and false rejection rate of 4.0\%).",
author = "Phung, \{Son Lam\} and Douglas Chai and Abdesselam Bouzerdoum",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 International Conference on Multimedia and Expo, ICME 2003 ; Conference date: 06-07-2003 Through 09-07-2003",
year = "2003",
doi = "10.1109/ICME.2003.1221276",
language = "English",
series = "Proceedings - IEEE International Conference on Multimedia and Expo",
publisher = "IEEE Computer Society",
pages = "III173--III176",
booktitle = "Proceedings - 2003 International Conference on Multimedia and Expo, ICME",
address = "United States",
}